Offset-free fuzzy model predictive control of a boiler-turbine system based on genetic algorithm

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• 作者：Yiguo Li^a ; ^{lyg@seu.edu.cn} ; Jiong Shen^a ; Kwang Y. Lee^b ; Xichui Liu^a
• 关键词：Boiler&ndash ; turbine system ; Model predictive control ; TS fuzzy model ; Genetic algorithm (GA) ; Terminal cost
• 刊名：Simulation Modelling Practice & Theory
• 出版年：2012
• 期刊代码：80_1569190x
• 类别：mt
• 出版时间：August, 2012
• 卷：26
• 期：Complete
• 页码：77-95
• 文件大小：1696 K

摘要

This paper presents a model predictive control (MPC) strategy based on genetic algorithm to solve the boiler-turbine control problem. First, a Takagi-Sugeno (TS) fuzzy model based on gap values is established to approximate the behavior of the boiler-turbine system, then a specially designed genetic algorithm (GA) is employed to solve the resulting constrained MPC problem. A terminal cost is added into the standard performance index so that a short prediction horizon can be adopted to effectively decrease the on-line computational burden. Moreover, the GA is accelerated by improving the initial population based on the optimal control sequence obtained at the previous sampling period and a local fuzzy linear quadratic (LQ) controller. Simulation results on a boiler-turbine system illustrate that a satisfactory closed-loop performance with offset-free property can be achieved by using the proposed method.